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PatientPoint

Data Science Manager

Posted 12 Days Ago
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Easy Apply
Hybrid
Cincinnati, OH
Senior level
Easy Apply
Hybrid
Cincinnati, OH
Senior level
The Data Science Manager will lead a team of data scientists, driving advanced analytics strategies to support business decision-making and enhancing organizational outcomes. Responsibilities include team management, strategic planning, and ensuring best practices in data science are followed.
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Join PatientPoint to be part of a dynamic team committed to empower better health. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.

Location: Cincinnati, OH  

Hybrid Schedule: 3 days in office / 2 days at home weekly 

Job Summary:  

The Data Science Manager will lead a team of data scientists and machine learning engineers in delivering data-driven insights to support business decision-making. This role requires a combination of leadership, technical expertise, and strategic thinking to leverage advanced analytics tools and techniques, driving innovation and optimizing business outcomes. This is a hands-on role, and the willingness and ability to jump in and support the work is part of the job. 

What You’ll Do  

Strategic Leadershi: 

  • Develop and implement the advanced analytics strategy to support organizational goals and strategic initiatives 
  • Partner with cross-functional teams (e.g., Sales, Pricing, Customer Experience, Finance, etc.) to identify analytics opportunities and translate business needs into actionable projects. 
  • Stay informed of emerging analytics trends, tools, and technologies to keep the organization at the forefront of innovation 

Team Leadership: 

  • Lead, mentor, and manage a team of data scientists and machine learning engineers, fostering a culture of continuous learning, innovation, and improvement  
  • Oversee resource allocation, prioritization, and project delivery to ensure high-quality outcomes within deadlines 
  • Support team members in developing their technical and professional skills 

Technical Expertise: 

  • Ensure the implementation of best practices in data science, including data cleaning, feature engineering, and model evaluation with a focus on creating scalable, automated solutions 
  • Oversee design, deployment and management of analytics platforms (i.e. Snowflake, HEX, Looker) 
  • Guide the team in using analytics tools such as Python and SQL, and visualization tools like Looker 
  • Manage and balance workload across the team members and support projects as needed  

Business Impact: 

  • Communicate complex analytical concepts and results to non-technical stakeholders in a clear and actionable manner 
  • Drive measurable business impact by identifying and implementing analytics solutions that enhance decision-making and efficiency 
  • Establish and track objectives and key results (OKRs) to evaluate the effectiveness of data science initiatives 

What We Need  

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field 
  • 5+ years of experience in advanced analytics, data science roles 
  • 2+ years managing a team 
  • Proficiency in programming languages such as Python, R, or SAS 
  • Strong knowledge of statistical analysis, machine learning, and data visualization techniques 
  • Experience with cloud computing environments (e.g., Snowflake, GCP, AWS, Azure) 
  • Expertise with database systems and SQL for querying large datasets 

Desired Qualifications

  • Master’s or Ph.D. Degree Preferred 

What You'll Need to Succeed 

  • Proven ability to lead and inspire teams in a fast-paced environment. 
  • Strong project management skills, with a track record of delivering complex projects on time and within scope 
  • Exceptional communication and presentation skills, with the ability to influence stakeholders at all levels 
  • Strong ability to translate complex analytical concepts and robust data storytelling skills to communicate insights to various audiences, including non-technical business partners

#LI-ED1 #LI-Hybrid  

About PatientPoint: 
PatientPoint is a leading digital health company that connects patients, healthcare providers and life sciences companies with the right information in the moments care decisions are made. Our solutions are proven to influence patient behavior and improve health outcomes, driving value for all stakeholders. Across the nation’s largest network of connected digital devices in 35,000 physician offices, PatientPoint solutions empower better health for more than 750 million patient visits each year.

Latest News & Innovations: 

  1. Named A Best Place to Work Across Multiple Prestigious Platforms! Read More
  2. Featured on Built In's article "Companies That Pay Well". Read More
  3. Now Culture Content Certified by VentureFizz. Read More

What We Offer: 
We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates.

PatientPoint recognizes that privacy is important to you. Please read the PatientPoint privacy policy, we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V

Top Skills

AWS
Azure
GCP
Looker
Python
R
SAS
Snowflake
SQL

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